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- Tasks: Develop data pipelines and machine learning models while optimising decision-support products.
- Company: Leading technology company with a focus on innovation and collaboration.
- Benefits: Flexible work environment and great potential for career advancement.
- Why this job: Join a dynamic team and make an impact with your data skills.
- Qualifications: Strong knowledge of machine learning, Python, SQL, and excellent communication skills.
- Other info: Exciting opportunity to grow in a supportive and innovative setting.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company is seeking a Data Scientist to develop data pipelines and machine learning models. This role involves working collaboratively within product squads and encompasses comprehensive responsibilities in optimizing decision-support products.
Candidates should have strong knowledge of machine learning techniques, be proficient in Python, SQL, and cloud platforms, and possess excellent communication skills.
This opportunity offers a flexible work environment and potential for career advancement.
Data Scientists — Flexible Work & Growth Opportunities in London employer: Amach
Contact Detail:
Amach Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientists — Flexible Work & Growth Opportunities in London
✨Tip Number 1
Network like a pro! Reach out to current Data Scientists on LinkedIn or at tech meetups. Ask them about their experiences and any tips they might have for landing a role in their company.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and machine learning models. This is your chance to demonstrate your proficiency in Python, SQL, and cloud platforms—make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as collaboration within product squads will be key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got flexible work opportunities and a great culture that supports growth. Your dream job could be just a click away!
We think you need these skills to ace Data Scientists — Flexible Work & Growth Opportunities in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and machine learning models. We want to see how your skills in Python, SQL, and cloud platforms make you a perfect fit for the role!
Show Off Your Communication Skills: Since excellent communication is key, include examples of how you've effectively collaborated with teams in the past. We love seeing candidates who can articulate their ideas clearly!
Be Specific About Your Experience: When detailing your previous roles, be specific about the projects you've worked on. We’re interested in the impact you made and how you optimised decision-support products.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Amach
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of machine learning techniques, Python, SQL, and cloud platforms. Be ready to discuss specific projects where you've applied these skills, as this will show your practical experience and understanding.
✨Showcase Your Collaboration Skills
Since the role involves working within product squads, be prepared to talk about your experiences in team settings. Highlight how you’ve contributed to group projects and how you communicate complex data insights to non-technical team members.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Practice explaining your thought process when tackling data challenges or optimising decision-support products, as this will demonstrate your analytical skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to data science, the tools they use, or how they support career growth. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
